Machine Learning And Language Acquisition: A Model Of Child's Learning Of Turkish Morphophonology

Every normal child who is exposed to linguistic input in an interactional environment acquires the complex structure of the language at a very early age, in a very short time and without any explicit training. This fascinating character of language acquisition lead many researchers to study on the aspects of language acquisition. The present study is on the morphological analysis of Turkish and on learning the morphophonology of Turkish by using the non-monotonic setting of Inductive Logic Programming, ILP. A model for the acquisition of morphophonology by children is proposed and is implemented in a computational system. Assuming that grammar is composed of the lexicon, the phonological representation and the semantic representation which are con..